Comments (1)
Thanks for poiting it out! Yes, manually removing these examples is helpful to avoid any issues for reward model training.
Please checkout the latest version which comes with response sources and GPT-4 scores.
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Related Issues (20)
- About the evaluation results HOT 1
- Is there a Chinese comparision_data.json that will be released? HOT 1
- OutOfMemoryError HOT 1
- Very poor quality of the Comparison dataset HOT 1
- Where is the Unnatural Instructions Data from? HOT 1
- The quality of comparision_data.json seems not good HOT 1
- Is the OPT 1.3B reward model open-source? HOT 1
- Why are some outputs in the Chinese dataset not complete sentences? HOT 1
- Will the prompt/other details for comparison data collection be released?
- the zh data doesn't have 52k
- Erroneous examples in Unnatural Instruction data
- Question about Figure 4 in paper HOT 1
- Question about the hardware cost
- alpaca_gpt4_data_zh.json那份数据,很多output部分是不完整的。 HOT 2
- Scripts for data generation
- webnovel_cn dataset release.(开源中文小说数据集)
- 中文的数据不够52k,同时Input也大幅减少,这个是为什么啊
- Where are the Scripts for the Actual Data Generation?
- `unnatural_instruction_gpt4_data.json` seems very low quality. HOT 1
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